Tire Pressure Sensor ECU Recognition via Dynamic Data Learning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Tire pressure sensors face challenges in sending high-frequency data recognizable by different vehicle-mounted ECUs, leading to identification issues when replaced or of non-original types.
Innovation Solution
A tire pressure monitoring system learning method that receives low-frequency data, determines command types, acquires preset tire pressure data, and generates high-frequency data using pre-stored configuration parameters to be sent to the ECU, enabling recognition by various ECUs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a tire pressure sensor sends high-frequency data according to a specific vehicle type, then the data can be identified by the corresponding vehicle-mounted ECU, but the sensor cannot be recognized by ECUs of other vehicle types
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the high-frequency data parameters based on the detected vehicle type. The sensor changes its transmission parameters (frequency, modulation mode) according to the specific ECU it is communicating with, allowing it to maintain reliable identification across different vehicle types without requiring multiple dedicated sensors
Solution Approach 2:
The patent implements universality by enabling a single tire pressure sensor to function with multiple different vehicle-mounted ECUs. The sensor detects the ECU type and adapts its high-frequency data transmission accordingly, making one sensor compatible with multiple vehicle types rather than requiring type-specific sensors
2Ease of manufacture
If a non-original tire pressure sensor is replaced, then cost and availability improve, but the vehicle-mounted ECU cannot smoothly recognize the sensor
Solution Approach 1:
The patent introduces an intermediary learning mechanism that mediates between the non-original sensor and the vehicle-mounted ECU. The learning function acts as a bridge, allowing the ECU to adapt to and recognize the replacement sensor through a learning process, thereby enabling reliable recognition of third-party sensors
Solution Approach 2:
The patent applies preliminary action by performing a learning process before normal operation. The system预先 executes a learning phase where the ECU stores reference data from the replacement sensor, so that when the sensor is actually used, the ECU can smoothly recognize and communicate with it
Data Source
AI summary
Provided is a tire pressure monitoring system learning method, device, sensor, system and medium. The tire pressure monitoring system learning method comprises following steps: receiving low-frequency data sent by a low-frequency trigger equipment; determining a command type corresponding to the low-frequency data; acquiring a preset tire pressure data in the low-frequency data if the command type is a sending command of custom high-frequency data, wherein the preset tire pressure data is used for simulating data sent by the tire pressure sensor to a vehicle-mounted ECU in a preset learning scene; generating high-frequency data based on a pre-stored high-frequency configuration parameter and the preset tire pressure data, and sending the high-frequency data to the vehicle-mounted ECU. The technical solution of the application enables the tire pressure sensor to send high-frequency data which can be identified by different vehicle-mounted ECUs, thus improving the adaptability of the tire pressure sensor.